Protein Structure Analysis — Pipeline Skill (Thin Scaffold)

SkillAI & models

Pipeline skill for protein structure analysis covering PDB/mmCIF parsing, RMSD superposition, Ramachandran/dihedral analysis, binding pocket detection, contact maps, B-factor flexibility, DSSP secondary structure, and format conversion. Triggers on PDB, protein structure, RMSD, Ramachandran, binding pocket, Biopython, PyMOL, pocket detection, fpocket, DSSP, PDBQT, structural alignment, superposition.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Protein Structure Analysis — Pipeline Skill (Thin Scaffold) skill

What this skill tells your AI

The instructions your AI receives, as published by awslabs/hcls-agent-skills in skills/protein-structure-analysis/SKILL.md and read by ahel’s review.

Overview

Adds tool-selection logic, format-conversion rules, and niche gotchas for protein structure tasks. The agent already knows Biopython/PyMOL syntax — this skill prevents common parameter and workflow mistakes.

Usage

  • Activate when parsing PDB/mmCIF, computing RMSD, detecting pockets, or converting formats
  • Activate for Ramachandran plots, contact maps, B-factor analysis, or DSSP assignment
  • Activate when preparing structures for downstream docking (PDBQT export)

Core Concepts

SMCRA hierarchy: Structure → Model → Chain → Residue → Atom. Always iterate at the correct level; NMR files have multiple models.

Altloc: Alternate conformations flagged with non-blank code ('A','B'). Filter to one before any geometry calculation.

fpocket output: Writes <basename>_out/ in the current working directory, not next to the input file. Pockets ranked by druggability score (0–1).

Decision Logic

Tool Selection

TaskToolKey consideration
Parse PDB/mmCIFBiopython PDBParser/MMCIFParserAlways pass QUIET=True
RMSD superpositionBio.PDB.SuperimposerRequires equal-length, 1-to-1 atom lists
Binding pocket detectionfpocket CLINeeds clean PDB (no altloc, no HETATM clutter)
Pocket visualizationPyMOL (-cq for headless)byres all within 5 of organic for pocket selection
Contact analysisBio.PDB.NeighborSearch4.0 Å default cutoff; returns atom pairs
Secondary structureDSSP via BiopythonBinary is mkdssp on newer installs
Format: PDB→mmCIFBio.PDB.MMCIFIOLossless for coordinates
Format: PDB→PDBQTobabel -O out.pdbqt -xrAdd -xh for hydrogens first
RamachandranPPBuilderget_phi_psi_list()Termini return None — must check

RMSD Type Selection

ScenarioAtoms to useNotes
Backbone comparisonCα onlyStandard for fold similarity
Loop flexibilityAll backbone (N, Cα, C, O)Captures local deviations
Binding site comparisonAll-atom within 5 Å of ligandRequires residue selection first
Identical sequencesAll-atomOnly valid for same-length chains

Critical Parameters

ParameterValueWhen to change
NeighborSearch cutoff4.0 Å3.5 for H-bonds, 5.0 for hydrophobic
Superimposer atomsAll-atom only for identical sequences
fpocket -m (min alpha spheres)35 (default)Lower to 15 for small/shallow pockets
DSSP binary namemkdsspUse dssp on legacy installs
obabel -xr flagreceptor modeOmit for flexible ligand PDBQT
PPBuilder vs CaPPBuilderPPBuilderCaPPBuilder only for Cα-only traces

Common Mistakes

  • Wrong: Assuming single model in PDB → Right: Always structure[0] or iterate models → Why: NMR ensembles have many models; raw iteration hits unexpected atoms

  • Wrong: Ignoring altloc in geometry → Right: Filter atom.get_altloc() in ('', 'A')Why: Duplicate atoms corrupt RMSD and dihedral calculations

  • Wrong: All-atom RMSD when backbone intended → Right: Restrict to Cα for fold comparison → Why: Side-chains inflate RMSD and break correspondence across non-identical sequences

  • Wrong: Unequal-length atom lists in Superimposer → Right: Match by residue number, build parallel lists of equal length → Why: set_atoms() requires strict 1-to-1 correspondence

  • Wrong: No hydrogens before PDBQT export → Right: obabel -xh then -xr -O receptor.pdbqtWhy: Crystal PDBs lack H; docking scoring needs them

  • Wrong: Including HETATM/water in backbone calculations → Right: Filter residue.id[0] == ' 'Why: Heteroatoms and water corrupt phi/psi and backbone RMSD

  • Wrong: math.degrees() on None phi/psi → Right: Check if phi is not None and psi is not NoneWhy: Chain termini return None; TypeError crashes

  • Wrong: Default dssp binary name → Right: Pass dssp='mkdssp' to DSSP()Why: Newer installs only provide mkdssp

  • Wrong: Expecting fpocket output next to input → Right: Run from target directory or move output after → Why: fpocket writes to CWD, not input file location

  • Wrong: Forgetting QUIET=True in parser → Right: PDBParser(QUIET=True)Why: Non-fatal warnings flood stdout and obscure real errors

Response Format

  • Lead with the command or code the user needs — explain after
  • Structure as: confirm inputs → working code → key parameters explained → gotchas
  • One complete working example per task; do not show every alternative
  • Keep code comments minimal and functional
  • Target: 50-100 lines of code with brief surrounding explanation

Signals

GitHub stars
35
Forks
8
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
protein-structure-analysis
Source
github.com/awslabs/hcls-agent-skills